Genome-wide association studies
In the past 2 years genome-wide association studies in humans have revealed dozens of disease-associated loci and have provided insights into the allelic architecture of complex traits. Along the way, much has been learned about how best to carry out such studies. The articles in this series examine these design issues and the technical challenges that remain; for example, identifying association signals and interpreting the molecular mechanisms by which they exert their biological functions.
2009
Advance online publication 27 October 2009
Common disorders are quantitative traits
Robert Plomin, Claire M. A. Haworth & Oliver S. P. Davis
doi:10.1038/nrg2670
October 2009 Volume 10 No 10
Bayesian statistical methods for genetic association studies
Matthew Stephens & David J. Balding
doi:10.1038/nrg2615
June 2009 Volume 10 No 6
Detecting gene–gene interactions that underlie human diseases
Heather J. Cordell
doi:10.1038/nrg2579
May 2009 Volume 10 No 5
Validating, augmenting and refining genome-wide association signals
John P. A. Ioannidis, Gilles Thomas & Mark J. Daly
doi:10.1038/nrg2544
2008
May 2008 Volume 9 No 5
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
Mark I. McCarthy, Gonçalo R. Abecasis, Lon R. Cardon, David B. Goldstein, Julian Little, John P. A. Ioannidis & Joel N. Hirschhorn
doi:10.1038/nrg2344
